| # MPMC pretrained pointset |
| # Contains following parameters (refer to QMCPy's MPMC documentation for more details): |
| # 'loss_fn': L2ctr |
| # 'lr': 0.001 |
| # 'nlayers': 3 |
| # 'weight_decay': 1e-06 |
| # 'nhid': 32 |
| # 'nbatch': 1 |
| # 'epochs': 200000 |
| # 'start_reduce': 100000 |
| # 'radius': 0.35 |
| # 'weights': None |
| # 'n_projections': 15 |
| 2 #d, the number of dimensions |
| 20 #n, the number of points |
| 6.250224262475967407e-02 7.000355124473571777e-01 |
| 9.429550170898437500e-01 6.234894394874572754e-01 |
| 6.402864456176757812e-01 4.729960560798645020e-01 |
| 6.516046077013015747e-02 2.673214375972747803e-01 |
| 7.303112745285034180e-01 9.350391030311584473e-01 |
| 5.794601440429687500e-01 2.715782523155212402e-01 |
| 1.688372790813446045e-01 9.252426624298095703e-01 |
| 3.781355023384094238e-01 1.708168685436248779e-01 |
| 8.249452710151672363e-01 3.568778038024902344e-01 |
| 3.117161095142364502e-01 8.152080178260803223e-01 |
| 4.658922553062438965e-01 4.658963978290557861e-01 |
| 5.341091156005859375e-01 5.341166853904724121e-01 |
| 6.075468659400939941e-01 7.198728919029235840e-01 |
| 3.922614455223083496e-01 6.077395081520080566e-01 |
| 9.145889282226562500e-01 8.541049808263778687e-02 |
| 4.658772349357604980e-01 5.340895056724548340e-01 |
| 1.823318004608154297e-01 7.327946275472640991e-02 |
| 2.804414629936218262e-01 3.914511501789093018e-01 |
| 7.159523367881774902e-01 1.913159936666488647e-01 |
| 8.696924448013305664e-01 8.218357563018798828e-01 |
|
|
